
\begin{table}
\begin{center}
\begin{tabular}{l D{)}{)}{9)1} D{)}{)}{9)1} D{)}{)}{9)1} D{)}{)}{9)1} D{)}{)}{9)1}}
\toprule
 & \multicolumn{1}{c}{Care} & \multicolumn{1}{c}{Fairness} & \multicolumn{1}{c}{Loyalty} & \multicolumn{1}{c}{Authority} & \multicolumn{1}{c}{Sanctity} \\
\midrule
GAL-TAN (CHES)           & -0.01 \; (0.14)     & 0.14 \; (0.15)      & 0.27 \; (0.16)      & 0.07 \; (0.15)      & 0.05 \; (0.16)      \\
Year                     & -0.26 \; (0.13)^{*} & -0.28 \; (0.13)^{*} & -0.40 \; (0.15)^{*} & -0.29 \; (0.14)^{*} & -0.20 \; (0.15)     \\
Government Participation & -0.41 \; (0.25)     & -0.51 \; (0.26)     & -0.25 \; (0.30)     & -0.62 \; (0.26)^{*} & -0.63 \; (0.29)^{*} \\
\midrule
AIC                      & 98.10               & 100.04              & 106.06              & 100.97              & 105.06              \\
BIC                      & 107.43              & 109.37              & 115.39              & 110.30              & 114.39              \\
Log Likelihood           & -43.05              & -44.02              & -47.03              & -44.48              & -46.53              \\
Num. manifestos          & 35                  & 35                  & 35                  & 35                  & 35                  \\
Num. groups: countries   & 4                   & 4                   & 4                   & 4                   & 4                   \\
Var: Country (Intercept) & 0.61                & 0.64                & 0.20                & 0.75                & 0.58                \\
Var: Residual            & 0.53                & 0.56                & 0.75                & 0.57                & 0.67                \\
\bottomrule
\multicolumn{6}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Regression table for all manifestos in German, scored with CCR (engl ref, multi embed) for the dimension Vice.}
\label{tab:app_reg_de_ccr_multi_to_en_vice}
\end{center}
\end{table}
